MLOps Engineer | Sonae

We are looking for an MLOps Engineer to help build and optimize the infrastructure that powers our machine learning systems, automate pipelines, and monitor model performance to keep our AI solutions scalable, robust, and impactful.

Requirements

• Bachelor’s or master’s degree in Computer Science, Engineering, Mathematics, or a related field
• 2–5 years of experience in machine learning or data engineering roles, with at least some exposure to model deployment and monitoring
• Proficiency in Python (Pandas, Scikit-learn, etc.)
• Experience with cloud services (AWS, GCP, or Azure)
• Experience with MLOps tooling (MLflow, Vertex AI, etc.)
• Knowledge of DevOps practices, including CI/CD, Git, Docker, and Kubernetes
• Familiarity with data pipelines and workflow orchestration tools (Airflow, Glue, DataFactory, etc.)
• Strong analytical mindset and ability to troubleshoot ML production issues effectively
• Good communication skills, able to explain technical topics clearly to both technical and non-technical stakeholders
• Experience managing complexity and ambiguity with autonomy
• Curiosity, creativity, and a drive to keep learning

Benefits

• Generous Paid Time Off
• 401k Matching
• Retirement Plan
• Visa Sponsorship
• Four Day Work Week
• Generous Parental Leave
• Tuition Reimbursement
• Relocation Assistance